Data Analyst III – Healthcare Analytics, Medical Economics

Role Overview

• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions
• Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes
• Interpret and analyze data from multiple sources including claims, provider, member, and encounters data
• Identify and assess the business impact of trends
• Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
• Contribute to the planning and execution of large-scale projects with limited direction from leadership
• Assist in the design, testing, and implementation of process enhancements and identify opportunities for automation
• Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers
• Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environment
• Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products
• Partner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
• Independently engage with customers and business partners to gather requirements and validate results
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required
• Provide technical guidance to junior analysts

Requirements

• Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience
• Master's degree preferred
• 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience
• Healthcare analytics experience preferred
• Working knowledge of SQL/querying languages
• Preferred knowledge of programmatic coding languages such as Python and R
• Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred
• Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI
• Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred
• Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired

Tech Stack

• Python
• SQL

Benefits

• health insurance
• 401K and stock purchase plans
• tuition reimbursement
• paid time off plus holidays
• flexible approach to work with remote, hybrid, field or office work schedules